3 papers
cs.LG2026
Benchmarking Label-Revealed Online Updates for EEG BCI Decoding
Bogdan Kozyrskiy, Artem Grachev, Abraham I. Camelo Guerrero
Electroencephalography (EEG) signals drift over time, which can cause static brain-computer interface (BCI) models to degrade in practice. We present a benchmark for online adaptat…
cs.LG2025
EEG-Reptile: An Automatized Reptile-Based Meta-Learning Library for BCIs
Daniil A. Berdyshev, Artem M. Grachev, Sergei L. Shishkin +1
Meta-learning, i.e., "learning to learn", is a promising approach to enable efficient BCI classifier training with limited amounts of data. It can effectively use collections of in…
stat.ML2022
Locally Smoothed Gaussian Process Regression
Davit Gogolashvili, Bogdan Kozyrskiy, Maurizio Filippone
We develop a novel framework to accelerate Gaussian process regression (GPR). In particular, we consider localization kernels at each data point to down-weigh the contributions fro…